Employee profiling via aspect-based sentiment and network for insider threats detection by Soh, Charlie, Yu, Sicheng, Narayanan, Annamalai, Duraisamy, Santhiya, Chen, Lihui

“…Existing works mainly focused on modeling the employees’ normal biometric behavior (e.g., human to device interaction pattern) to detect anomalous behavior which corresponds to the insider activity. …”
Get full text

Study on the impact of connected automated vehicle position on mixed traffic flow stability by Tan, Kenneth Chiao Wee

“…Because CAVs utilise vehicle controls such as Cooperative Adaptive Cruise Control (CACC) and Adaptive Cruise Control (ACC) while human-driven vehicles (HDV) utilise driving models such as Intelligent Driving Model (IDM), these vehicles controls and models are also being examined in this study. …”
Get full text

Goal modelling for deep reinforcement learning agents by Leung, Jonathan, Shen, Zhiqi, Zeng, Zhiwei, Miao, Chunyan

“…As agents become more intelligent, it is necessary to ensure that the agent’s goals are aligned with the goals of the agent designers to avoid unexpected or unwanted agent behavior. …”
Get full text

A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings by Chaudhuri, Tanaya, Soh, Yeng Chai, Li, Hua, Xie, Lihua

“…The study is substantiated with extensive real human experiments in controlled thermal environment. …”
Get full text

Physical unclonable function based solutions to unification of user, device and data authentication by Zheng, Yue

“…A UDhashing scheme is proposed to unify the macroscopic human biometric and microscopic silicon entropy into a single identity by projecting the contactless facial biometric into a PUF- defined random space. …”
Get full text

Energy storage management for renewable energy systems by Feng, Xue

“…Excess dependence on fossil fuels and hence large amount of carbon emission overloads the atmosphere of the earth and causes global warming which poses negative impacts on the sustainability development of the human being. The increasing carbon emission is largely due to the deployment of the carbon intensive electricity generation based on fossil fuels. …”
Get full text

Representation learning in the artificial and biological neural networks underlying sensorimotor integration by Suhaimi, Ahmad, Lim, Amos W. H., Chia, Xin Wei, Li, Chunyue, Makino, Hiroshi

“…The integration of deep learning and theories of reinforcement learning (RL) is a promising avenue to explore novel hypotheses on reward-based learning and decision-making in humans and other animals. Here, we trained deep RL agents and mice in the same sensorimotor task with high-dimensional state and action space and studied representation learning in their respective neural networks. …”
Get full text

Cloud removal in optical remote sensing imagery based on SAR-guided inpainting using deep learning by Dou, Kaijie

“…With the development of high-resolution optical remote sensing satellite technology, optical satellite images are gradually widely used in navigation and positioning, agricultural investigation, environmental protection, disaster prevention and reduction, marine development, urbanization research and other fields. However, not all images can meet the requirements of intelligent information processing. …”
Get full text

Persuasive teachable agent for intergenerational learning by Lim, Su Fang

“…Teachable agents are artificial intelligent computer agents designed around the pedagogical concept that students learn better when they teach others. …”
Get full text

Three Paradoxes to Reconcile to Promote Safe, Fair, and Trustworthy AI in Education by Slama, Rachel, Toutziaridi, Amalia Christina, Reich, Justin

Get full text